• DocumentCode
    2450628
  • Title

    Development of monocular vision system for depth estimation in mobile robot — Robot soccer

  • Author

    Wahab, M.N.A. ; Sivadev, N. ; Sundaraj, K.

  • Author_Institution
    Sch. of Mechatron. Eng., Univ. Malaysia Perlis, Arau, Malaysia
  • fYear
    2011
  • fDate
    20-21 Oct. 2011
  • Firstpage
    36
  • Lastpage
    41
  • Abstract
    Vision system could enhance the mobile robot applications and features. However, the vision system could also improve the overall system of mobile robot so as to contain higher complexity with the purpose to be reliable, effective, robust and fast enough to achieve their goals. This paper will present a simple yet reliable monocular vision system in the mobile robot to increase their capabilities in depth estimation. By comparing few methods for circle detection such as Hough Transform (HT), Fast-Finding-and-Fitting (FFF) and background subtraction algorithm, the object of interest can be detected thus diameter will be calculated and finally estimated depth is obtained. This paper also will show the trick on how to solve the depth estimation if the object being too close to the camera. The relationship between distance and diameter is calculated by formula that is derived from calibration data.
  • Keywords
    Hough transforms; mobile robots; object detection; robot vision; Hough transform; background subtraction algorithm; circle detection; depth estimation; fast-finding-and-fitting; mobile robot; monocular vision system; robot soccer; Cameras; Estimation; Machine vision; Mobile robots; Reliability; Robot vision systems; Fast-Finding-and-Fitting; Hough Transform; background substraction; diameter; distance; mobile robot;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2011 IEEE Conference on
  • Conference_Location
    Semenyih
  • Print_ISBN
    978-1-4577-0443-7
  • Type

    conf

  • DOI
    10.1109/STUDENT.2011.6089321
  • Filename
    6089321